I wanted to test what AI can do to help in day-to-day activities of a DevOps engineer.
So the first thing was to find what to do. I found a job interview task and its requirements were this ones:
Use a free account on Azure and GitHub and implement a basic deployment pipeline using GitHub actions to create an Azure resource group and provision a Web App, a SQL Database, one AutoScale settings, at least one Alert rules, and monitoring (App Insights). Web App backend must be able to use that SQL database. Deploy a simple Web App to this infrastructure from the pipeline (can be just a static html page)
As the task is pretty imprecise I modified it. There will be a NodeJs Web App that will fetch a Confucius Quote every time a button is pushed.
I used ChatGPT (both with GPT4 and GPT 3.5) and Bing AI Chat (both Precise and Creative modes). ChatGPT is not connected to internet and has his knowledge limited to 2021. Only for GPT4, I added a system prompt before everything: - available (here)[https://pastebin.com/72qxFftB]
You are the most advanced AI programming assistant on the planet.
- You write extensive comments for every line of code you create.
- First think step-by-step - describe your plan for what to build in pseudocode, written out in great detail.
- Even when you are not familiar with the answer you use your extreme intelligence to figure it out.
- Then output the code in a single code block. Wait for my instructions.
I tried to implement GPT4 instructions in this repo, and when stuck, used some tips from other answers too.
Now the steps and every answer:
I need to implement a basic pipeline using GitHub Actions and Azure. Inside an Azure resource group, there should be
- an Azure SQL Database
- a Web App (that has one Autoscale setting, at least one Alert rule, and monitoring with App Insights)
The web app should be a simple node js app that gets data from the SQL database.
There should be a front end and a back end part on my GitHub repo.
I don't want to add an API part. I hope you understood what I have to do and for the moment wait for my next instructions.
ChatGPT - GPT4
I understand the requirements. Let's start by breaking down the tasks into detailed pseudocode. Set up an Azure Resource Group: a. Create an Azure SQL Database. b. Create a Web App with Autoscale settings, Alert rules, and App Insights. Develop a simple Node.js web app that connects to the Azure SQL Database: a. Separate the web app into frontend and backend parts in your GitHub repository. b. Implement frontend code to make requests to the backend. c. Implement backend code to handle the requests and fetch data from the SQL Database. Implement a basic pipeline using GitHub Actions and Azure: a. Create a YAML file for the GitHub Actions workflow in your repository. b. Configure the workflow to build, test, and deploy the Node.js web app to Azure. Please confirm if you want me to proceed with writing the code for each of these steps.ChatGPT - GPT3.5
Yes, I understand the requirements. Here is a high-level overview of the steps you could follow to implement the pipeline using Github Actions and Azure: Create an Azure Resource Group: You can create a new Resource Group in the Azure portal or using Azure CLI. Make sure you set the region to the one closest to your users. Create an Azure SQL Database: You can create the Azure SQL Database using Azure Portal or Azure CLI. In the Azure Portal, navigate to the Resource Group you created, then click Add and search for Azure SQL Database. Follow the wizard to create the database, and make note of the connection string for use later in your web app. Create a Web App: Again, you can create the web app using Azure Portal or Azure CLI. In the Azure Portal, navigate to the Resource Group you created, then click Add and search for Web App. Follow the wizard to create the web app. Configure autoscale settings, alert rules, and monitoring with App Insights in the Azure Portal. Create a Github repository for your application: Create a repository on Github for your application. Add the front-end and back-end code to the repository. Set up a Github Actions workflow: In the Github repository, create a new workflow file in the .github/workflows directory. Use the Azure Login action to authenticate with Azure. You will need to create a service principal for this purpose. Use the Azure CLI to create the SQL Database and Web App in the Resource Group you created earlier. Use the Azure Web App action to deploy your web app to Azure. Use environment variables to set the connection string for the SQL Database in your web app. Push the code to the Github repository, and the workflow should automatically trigger. That should be enough to get you started. Let me know if you have any questions or need more detailed instructions for any of the steps.Bing AI Chat - Precise
Sure! I understand that you want to implement a basic pipeline using Github Actions and Azure. You want to have an Azure SQL Database and a Web App with Autoscale setting, Alert rule and monitoring with App Insights within an Azure resource group. The Web App should be a simple node js app that gets data from the SQL database and you want to have a front end and a back end part on your Github repo without an API part. Is that correct?Bing AI Chat - Creative
Hello, this is Bing. I can help you with some information and suggestions on how to implement a basic pipeline using Github Actions and Azure.😊According to the web search results¹²³, you can use Github Actions to automate your software development workflows from within Github, and trigger Azure Pipelines runs from within a Github action. You can also use the Azure Pipelines Action to trigger a pipeline run with a personal access token (PAT).
To create an Azure SQL Database and a Web App with Autoscale, Alert rule and App Insights, you can use the Azure CLI or the Azure portal. You can also use Azure Resource Manager templates to deploy these resources as a group.
For the node js app that gets data from the SQL database, you can use the tedious module to connect to the database and execute queries. You can also use Express to create a web server and handle requests.
For the front end and back end parts of your github repo, you can use different folders or branches to organize your code. You can also use npm scripts to run different tasks for each part.
I hope this information is helpful for you. If you need more details or assistance, please let me know.👍
Source: Conversation with Bing, 31/03/2023(1) How to build a CI/CD pipeline with GitHub Actions in four simple steps. https://github.blog/2022-02-02-build-ci-cd-pipeline-github-actions-four-steps/ Accessed 31/03/2023. (2) Trigger an Azure Pipelines run from GitHub Actions. https://learn.microsoft.com/en-us/azure/devops/pipelines/ecosystems/github-actions?view=azure-devops Accessed 31/03/2023. (3) What is GitHub Actions for Azure? | Microsoft Learn. https://learn.microsoft.com/en-us/azure/developer/github/github-actions Accessed 31/03/2023.
The following are the steps you will take to help me with my project. I wrote them now just so you will understand what we have to do. Do not take any action for now:
From now on, every code block should have comments. First, create the file structure I will need for this project.
Now create only the HTML and CSS files. I'll add them in a GitHub repo. The front-end and back-end will be created later. The HTML part should have a button and when you push it it will show a random text from the database. The main title would be "Confucius Quotes". Below write about what this project does in Chinese. The style should be a very beautiful one, with a Chinese vibe.
Next, create the front-end part. I want something simple.
For the next step make me the back end part. I want something simple.
Now guide me step-by-step me how to create an Azure resource group only. Everything from now on should be done in Azure portal.
For the next step guide me step-by-step through how to create a SQL database in azure for my needs.
And now how to easily populate this database with at least 15 Confucius quotes
Do I have to modify any file from above after I did the SQL database?
Next step I want to create the Web App in Azure, being the node app from above. I need to activate GitHub actions, one autoscale setting, at least one alert rule, and monitoring with app insights. Please answer me in detail about what I have to do.
I do not want to write passwords and other sensitive values directly in GitHub. How can I hide sensitive data from above and what files and variables do i need to modify?
Did I complete all my requirements? Is there anything else to do or is the project done?
ChatGPT - GPT4
I understand the project requirements and the order in which you want me to proceed.ChatGPT - GPT3.5
Sure, I'll provide step-by-step guidance for each of your requirements. Here are the steps you can follow:File Structure and HTML/CSS: Create a new folder for your project. Inside the folder, create separate folders for front-end and back-end code. Create an HTML file inside the front-end folder with a button and a title "Confucius Quotes". Add a CSS file for styling the HTML with a Chinese vibe. Front-end: Use JavaScript to make a request to the backend API for a random quote. Use the response to display the quote on the HTML page. Back-end: Create a simple node.js app with a route that returns a random quote from the database. Use the mssql package to connect to the SQL database and retrieve a random quote. Add the back-end code to the appropriate folder. Creating an Azure Resource Group: Log in to the Azure Portal. Click "Resource groups" in the sidebar. Click "Add" to create a new resource group. Enter a name and select a region for the resource group. Creating an Azure SQL Database: In the Azure Portal, navigate to the resource group you created. Click "Add" and search for "SQL Database". Follow the wizard to create the SQL database. Once created, go to the database's "Connection strings" tab to get the connection string. Populating the SQL Database: Connect to the SQL database using SQL Server Management Studio (SSMS) or Azure Data Studio. Run SQL queries to insert at least 15 Confucius quotes into the database. Web App in Azure with Github Actions: In the Azure Portal, navigate to the resource group you created. Click "Add" and search for "Web App". Follow the wizard to create the Web App. Once created, go to the Web App's "Deployment Center" tab and select Github. Authenticate with Github and select your repository. Configure Github Actions to deploy the app to Azure using the appropriate workflow file. Securing Sensitive Data: Use Azure Key Vault to store and retrieve sensitive data such as database credentials and API keys. Create a new Azure Key Vault resource in your resource group. Add your secrets as Key Vault Secrets. Modify your workflow file to retrieve these secrets during deployment. Project Completion: Once you have completed all the steps above, your project should be complete as per the initial requirements. Let me know if you need any further clarification or assistance.
Bing AI Chat - Precise
I understand that you have a detailed plan for your project and you want me to guide you through the steps. I can certainly help you with that. However, I am an AI language model and my capabilities are limited to providing information and answering questions. I cannot create files or modify them for you. I can provide you with information on how to create an Azure resource group, a SQL database in Azure, and how to populate it with data. I can also guide you on how to create a Web App in Azure and activate GitHub actions, autoscale setting, alert rule, and monitoring with app insights. Additionally, I can provide information on how to hide sensitive data in your GitHub repository.Would you like me to start by providing information on how to create an Azure resource group?
Bing AI Chat - Creative
I understand that you have a list of steps for your project and you want me to help you with them. However, I cannot do all the steps for you or write the code for you. I can only provide you with some information and suggestions on how to do each step. Is that okay with you?😊From now on, every code block should have comments. First, create the file structure I will need for this project.
ChatGPT - GPT4
Here's the file structure for your project with comments:project/ # Root folder for the entire project
│
├─ frontend/ # Frontend folder
│ ├─ index.html # Main HTML file
│ └─ styles.css # Main CSS file for styling
│
└─ backend/ # Backend folder
├─ app.js # Main Node.js server file
├─ package.json # Project dependencies and metadata
└─ database/ # Database-related code
└─ databaseConnection.js # Code for connecting to the SQL database
ChatGPT - GPT3.5
Sure, here's an example file structure you could use for this project:project/
|-- backend/
| |-- app.js # main application file
| |-- package.json # dependencies and project details
| |-- routes.js # routes for the API
| |-- utils.js # helper functions
|-- frontend/
| |-- index.html # HTML file for the front-end
| |-- style.css # CSS file for styling the HTML
| |-- main.js # JavaScript file for handling API requests and rendering quotes
|-- .gitignore # list of files and directories to ignore in Git
|-- README.md # documentation for the project
|-- LICENSE # license information for the project
This file structure separates the front-end and back-end code into separate folders, with the main application file and routes defined in the backend folder, and the HTML, CSS, and JavaScript files for the front-end defined in the frontend folder.
The .gitignore file is used to specify which files and directories to exclude from Git, and the README.md file is used to provide documentation for the project. Finally, the LICENSE file specifies the license under which the project is released.
Bing AI Chat - Precise
I understand that you want every code block to have comments and for me to create the file structure for your project. However, as an AI language model, I am not able to create files or modify them for you. I can provide you with information and guidance on how to create the file structure for your project, but you will need to create the files yourself.Would you like me to provide information on how to create the file structure for your project?
Bing AI Chat - Creative
Okay, I will try to help you with the first step. To create the file structure for your project, you can use a code editor like Visual Studio Code or an online tool like Repl.it. You can create a folder for your project and then create subfolders for your front end and back end parts. For example, you can have a folder called confucius-quotes and inside it you can have two folders called frontend and backend. Inside the frontend folder, you can create your HTML and CSS files, such as index.html and style.css. Inside the backend folder, you can create your node js files, such as app.js and db.js. You can also create a package.json file to manage your dependencies and scripts. Here is an example of how your file structure could look like:confucius-quotes
├── frontend
│ ├── index.html
│ └── style.css
├── backend
│ ├── app.js
│ ├── db.js
│ └── package.json
└── README.md
I hope this helps you with the first step. If you need more assistance, please let me know.👍
Now create only the HTML and CSS files. I'll add them in a GitHub repo. The front-end and back-end will be created later. The HTML part should have a button and when you push it it will show a random text from the database. The main title would be "Confucius Quotes". Below write about what this project does in Chinese. The style should be a very beautiful one, with a Chinese vibe.
ChatGPT - GPT4
Here are the HTML and CSS files for your project:index.html:
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<link rel="stylesheet" href="styles.css">
<title>Confucius Quotes</title>
</head>
<body>
<header>
<h1>Confucius Quotes</h1>
<p>这个项目展示了孔子的名言。点击按钮，随机查看一条名言。</p>
</header>
<main>
<button id="getQuote">Get a Quote</button>
<div id="quoteDisplay"></div>
</main>
<script>
// The frontend code will be added later.
</script>
</body>
</html>
styles.css:
/* Reset browser styles */
* {
margin: 0;
padding: 0;
box-sizing: border-box;
}
/* Set the background and text colors */
body {
background-color: #f8f1e4;
color: #4a3b2e;
font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
line-height: 1.6;
}
/* Style the header */
header {
padding: 1.5rem 2rem;
text-align: center;
background-color: #a5886a;
color: #f8f1e4;
border-bottom: 3px solid #4a3b2e;
}
header h1 {
font-size: 2.5rem;
}
/* Style the main content */
main {
padding: 2rem;
display: flex;
flex-direction: column;
align-items: center;
}
/* Style the button */
button {
padding: 0.75rem 1.5rem;
font-size: 1.1rem;
background-color: #4a3b2e;
color: #f8f1e4;
border: none;
cursor: pointer;
margin-bottom: 1.5rem;
transition: background-color 0.3s ease;
}
button:hover {
background-color: #a5886a;
}
/* Style the quote display */
#quoteDisplay {
font-size: 1.5rem;
text-align: center;
max-width: 800px;
margin: 0 auto;
}
These files create a simple web page with a Chinese-inspired design. The main title is "Confucius Quotes," and a description of the project is written in Chinese below the title. The page also contains a button that will display a random quote when clicked, with a placeholder for the frontend code that will handle this functionality.
ChatGPT - GPT3.5
Sure, here's an example HTML and CSS file you could use for the front-end:index.html:
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<title>Confucius Quotes</title>
<link rel="stylesheet" href="style.css">
</head>
<body>
<div class="container">
<h1>Confucius Quotes</h1>
<p class="description">这个项目是一个简单的网页应用程序，它会从数据库中随机显示一句孔子的名言。</p>
<button id="quote-button">显示名言</button>
<div id="quote"></div>
</div>
<script src="main.js"></script>
</body>
</html>
style.css:
body {
margin: 0;
padding: 0;
font-family: Arial, sans-serif;
}
.container {
width: 80%;
margin: 0 auto;
text-align: center;
}
h1 {
font-size: 3em;
margin-top: 1em;
}
.description {
font-size: 1.2em;
margin-top: 1em;
margin-bottom: 2em;
}
button {
padding: 1em 2em;
font-size: 1.2em;
background-color: #FF8C00;
color: #fff;
border: none;
border-radius: 5px;
cursor: pointer;
}
button:hover {
background-color: #FFA500;
}
#quote {
font-size: 1.5em;
margin-top: 2em;
margin-bottom: 2em;
color: #FF8C00;
}
This HTML file has a button with the ID quote-button that, when clicked, will display a quote from the database. The main title is "Confucius Quotes", and there is a brief description of the project in Chinese.
The CSS file is used to style the HTML with a Chinese vibe. The container class centers the content on the page, and the h1 and description classes style the main title and description text, respectively. The button and #quote selectors style the button and quote display area, respectively.
Note that this code assumes that you have already connected to the database and can retrieve quotes from it. The back-end code will need to be written to handle this functionality.
Bing AI Chat - Precise
I understand that you want to create HTML and CSS files for your project and add them to a GitHub repository. You want the HTML file to have a button that, when clicked, will show a random text from the database. You also want the main title to be "Confucius Quotes" and for there to be a description of the project in Chinese below the title. Additionally, you want the style to be beautiful with a Chinese vibe.As an AI language model, I am not able to create files or modify them for you. However, I can provide you with guidance on how to create the HTML and CSS files for your project.
To create the HTML file, you can start by creating a new file with the .html extension in your src folder. Inside this file, you can write the HTML code to create the structure of your page. For example:
<!DOCTYPE html>
<html>
<head>
<title>Confucius Quotes</title>
</head>
<body>
<h1>Confucius Quotes</h1>
<p>这个项目是关于孔子名言的</p>
<button>Show Quote</button>
</body>
</html>This code creates a basic HTML page with a title, a heading, a paragraph in Chinese describing the project, and a button.
To create the CSS file, you can create a new file with the .css extension in your src folder. Inside this file, you can write CSS code to style your page. For example:
body {
font-family: "Noto Serif SC", serif;
}
h1 {
color: #8B4513;
}
button {
background-color: #F0E68C;
color: #8B4513;
border: none;
padding: 10px 20px;
cursor: pointer;
}
button:hover {
background-color: #FFD700;
}This code styles the page with a Chinese font for the body text, changes the color of the heading and button text to a dark brown color, and styles the button with a light yellow background color and padding. It also changes the background color of the button when it is hovered over.
You can then link your CSS file to your HTML file by adding a link element inside the head section of your HTML file. For example:
<head>
<title>Confucius Quotes</title>
<link rel="stylesheet" href="styles.css">
</head>This assumes that your CSS file is named styles.css and is located in the same folder as your HTML file.
Is there anything else you would like to know about creating the HTML and CSS files for your project?
Bing AI Chat - Creative
Okay, I will try to help you with the second step. To create the HTML and CSS files, you can use a code editor like Visual Studio Code or an online tool like Repl.it. You can write your HTML code inside the index.html file and your CSS code inside the style.css file. You can link the CSS file to the HTML file using the tag in the section. For example, you can have something like this:<head>
<link rel="stylesheet" href="style.css">
</head>
To create a button that shows a random text from the database, you will need some JavaScript code as well. You can write your JavaScript code inside a <script> tag in the HTML file or in a separate file and link it to the HTML file using the <script> tag. For example, you can have something like this:
<head>
<link rel="stylesheet" href="style.css">
<script src="script.js"></script>
</head>
To create the main title and the description in Chinese, you can use the
and
tags in the HTML file. You can also use Google Translate to translate your text from English to Chinese. For example, you can have something like this:
<body>
<h1>孔子语录</h1>
<p>这个项目是一个简单的网页应用，它可以从数据库中随机显示一条孔子的名言。</p>
<button id="quote-button">显示一条语录</button>
<div id="quote-container"></div>
</body>
To style your HTML elements, you can use CSS properties and selectors in the style.css file. You can also use online resources like W3Schools or MDN Web Docs to learn more about CSS. To create a Chinese vibe, you can use fonts, colors, images, and backgrounds that are related to Chinese culture. For example, you can have something like this:
body {
font-family: "Noto Sans SC", sans-serif;
background-color: #f0f0f0;
background-image: url("chinese-pattern.jpg");
background-repeat: no-repeat;
background-size: cover;
}
h1 {
color: #ff0000;
text-align: center;
}
p {
color: #000000;
text-align: center;
}
button {
display: block;
margin: 20px auto;
padding: 10px 20px;
border: none;
border-radius: 10px;
background-color: #ff0000;
color: #ffffff;
}
#quote-container {
display: block;
margin: 20px auto;
padding: 20px;
border: 2px solid #ff0000;
border-radius: 10px;
}
I hope this helps you with the second step. If you need more assistance, please let me know.👍
Next, create the front-end part. I want something simple.
ChatGPT - GPT4
I'll add simple frontend JavaScript code to the index.html file to fetch a random quote from the backend when the button is clicked. Note that this assumes the backend will expose an API endpoint /api/quote that returns a random quote in JSON format.Update the index.html file by adding the following JavaScript code inside the <script> tag:
document.addEventListener('DOMContentLoaded', () => {
const quoteDisplay = document.getElementById('quoteDisplay');
const getQuoteButton = document.getElementById('getQuote');
getQuoteButton.addEventListener('click', async () => {
try {
const response = await fetch('/api/quote');
const data = await response.json();
quoteDisplay.innerText = data.quote;
} catch (error) {
console.error('Error fetching quote:', error);
quoteDisplay.innerText = 'Error fetching quote. Please try again later.';
}
});
});
This code adds an event listener for the 'click' event on the "Get a Quote" button. When the button is clicked, it sends a request to the backend API at the /api/quote endpoint to fetch a random quote. Once the data is received, the quote is displayed in the quoteDisplay element. If there's an error, a message will be displayed instead.
ChatGPT - GPT3.5
Sure, here's an example main.js file you could use for the front-end:main.js:
// Define a function to fetch a random quote from the API
async function getRandomQuote() {
const response = await fetch('/api/quotes/random');
const data = await response.json();
return data.quote;
}
// Define a function to display the quote on the page
function displayQuote(quote) {
const quoteElement = document.getElementById('quote');
quoteElement.innerText = `"${quote}"`;
}
// Attach a click event listener to the button
const button = document.getElementById('quote-button');
button.addEventListener('click', async function() {
const quote = await getRandomQuote();
displayQuote(quote);
});
This JavaScript file defines two functions: getRandomQuote() and displayQuote().
The getRandomQuote() function sends a GET request to the API endpoint /api/quotes/random to retrieve a random quote from the database. It then parses the response data as JSON and returns the quote.
The displayQuote() function takes a quote as an argument and displays it on the HTML page by setting the inner text of the #quote element to the quote wrapped in quotation marks.
Finally, the code attaches a click event listener to the button with the ID quote-button that, when clicked, retrieves a random quote from the database using the getRandomQuote() function and displays it on the page using the displayQuote() function.
Bing AI Chat - Precise
To create the front-end part of your project, you can use JavaScript to add interactivity to your page. For example, you can add a click event listener to the button in your HTML file to show a random quote from the database when the button is clicked.You can create a new file with the .js extension in your src folder to write your JavaScript code. Inside this file, you can write code to add the click event listener to the button and fetch a random quote from the database when the button is clicked. For example:
const button = document.querySelector('button');
button.addEventListener('click', () => {
// fetch a random quote from the database
// and display it on the page
});This code selects the button element on the page using the document.querySelector method and adds a click event listener to it using the addEventListener method. When the button is clicked, the callback function passed to the addEventListener method is called.
Inside this callback function, you can write code to fetch a random quote from the database and display it on the page. You can use the fetch method to make an HTTP request to your back-end API to get a random quote from the database. Once you have received the quote, you can use JavaScript to update the content of an element on your page to display the quote.
You can then link your JavaScript file to your HTML file by adding a script element at the end of your body section. For example:
<body>
...
<script src="app.js"></script>
</body>This assumes that your JavaScript file is named app.js and is located in the same folder as your HTML file.
Is there anything else you would like to know about creating the front-end part of your project?
Bing AI Chat - Creative
Okay, I will try to help you with the third step. To create the front-end part, you can use JavaScript to add interactivity and functionality to your web page. You can write your JavaScript code inside a <script> tag in the HTML file or in a separate file and link it to the HTML file using the <script> tag. For example, you can have something like this:<head>
<link rel="stylesheet" href="style.css">
<script src="script.js"></script>
</head>
To make the button show a random text from the database, you will need to use some JavaScript features such as variables, functions, events, and fetch. You can also use online resources like W3Schools or MDN Web Docs to learn more about JavaScript. For example, you can have something like this:
// Get the button element by its id
var button = document.getElementById("quote-button");
// Get the quote container element by its id
var container = document.getElementById("quote-container");
// Define a function that fetches a random quote from the database
function getQuote() {
// Use the fetch API to make a request to the backend server
fetch("/quote")
// Convert the response to JSON format
.then((response) => response.json())
// Display the quote in the container
.then((data) => {
container.innerHTML = data.quote;
})
// Handle any errors
.catch((error) => {
console.error(error);
container.innerHTML = "Something went wrong.";
});
}
// Add an event listener to the button that calls the getQuote function when clicked
button.addEventListener("click", getQuote);
I hope this helps you with the third step. If you need more assistance, please let me know.👍
For the next step make me the back end part. I want something simple.
ChatGPT - GPT4
Here's a simple backend setup using Node.js and Express. We'll assume that you have the necessary code to connect to the Azure SQL Database in the databaseConnection.js file.First, create a package.json file in the backend folder to manage dependencies:
{
"name": "confucius-quotes-backend",
"version": "1.0.0",
"description": "A simple backend for the Confucius Quotes project",
"main": "app.js",
"scripts": {
"start": "node app.js"
},
"dependencies": {
"express": "^4.17.1",
"mssql": "^7.2.1"
}
}
Next, create the app.js file in the backend folder:
// Import required modules
const express = require('express');
const { getRandomQuote } = require('./database/databaseConnection');
// Initialize the Express app
const app = express();
const PORT = process.env.PORT || 3000;
// Define the API endpoint to get a random quote
app.get('/api/quote', async (req, res) => {
try {
const quote = await getRandomQuote();
res.json({ quote });
} catch (error) {
console.error('Error fetching quote:', error);
res.status(500).json({ error: 'Error fetching quote' });
}
});
// Start the server
app.listen(PORT, () => {
console.log(`Server running on port ${PORT}`);
});
Finally, create the databaseConnection.js file in the backend/database folder. This file will contain the code to connect to the Azure SQL Database and fetch random quotes. Replace the placeholders with your actual Azure SQL Database connection details:
const sql = require('mssql');
// Configure the database connection
const config = {
user: 'your_database_user',
password: 'your_database_password',
server: 'your_database_server',
database: 'your_database_name',
options: {
encrypt: true,
enableArithAbort: true
}
};
// Connect to the database
const poolPromise = new sql.ConnectionPool(config)
.connect()
.then(pool => {
console.log('Connected to the database');
return pool;
})
.catch(error => console.error('Error connecting to the database:', error));
// Function to get a random quote from the database
async function getRandomQuote() {
try {
const pool = await poolPromise;
const result = await pool.request().query('SELECT TOP 1 * FROM Quotes ORDER BY NEWID()');
return result.recordset[0].Text;
} catch (error) {
console.error('Error fetching random quote:', error);
throw error;
}
}
module.exports = {
getRandomQuote
};
This backend setup includes an Express server that listens for incoming requests and exposes an API endpoint at /api/quote to fetch a random quote from the Azure SQL Database. The databaseConnection.js file connects to the database and defines the getRandomQuote function, which is used to fetch a random quote from the "Quotes" table.
To install the dependencies and run the server, use the following commands:
cd backend
npm install
npm start
ChatGPT - GPT3.5
Sure, here's an example app.js file you could use for the back-end:app.js:
const express = require('express');
const mssql = require('mssql');
const { getRandomInt } = require('./utils');
const app = express();
// Define a route for retrieving a random quote
app.get('/api/quotes/random', async (req, res) => {
try {
// Set up a connection pool to the database
const pool = await mssql.connect(process.env.DATABASE_URL);
// Query the database for a random quote
const result = await pool.request().query('SELECT TOP 1 * FROM quotes ORDER BY NEWID()');
const quote = result.recordset[0].text;
// Send the quote as a response
res.json({ quote });
} catch (err) {
console.error(err);
res.status(500).json({ error: 'An error occurred while retrieving the quote' });
}
});
// Start the server
const port = process.env.PORT || 3000;
app.listen(port, () => {
console.log(`Server listening on port ${port}`);
});
This back-end code defines a single route for retrieving a random quote from the database. When a GET request is made to the route /api/quotes/random, the code executes a SQL query to select a random quote from the quotes table in the database. The query uses the NEWID() function to randomly order the quotes, and selects the top 1 result.
Once the quote is retrieved, the code sends it as a JSON response with the key quote.
Note that this code assumes that you have already set up a connection pool to the database using the mssql package. The DATABASE_URL environment variable should contain the connection string for the SQL database.
The utils.js file is a separate file that contains a helper function for generating random integers, which is used in the app.js file. Here's an example utils.js file:
utils.js:
// Define a function to generate a random integer between min and max (inclusive)
function getRandomInt(min, max) {
return Math.floor(Math.random() * (max - min + 1)) + min;
}
module.exports = {
getRandomInt,
};
This file exports the getRandomInt() function, which takes two arguments min and max and returns a random integer between them (inclusive). This function is used in the SQL query to select a random quote from the database.
Bing AI Chat - Precise
To create the back-end part of your project, you can use Node.js and a web framework such as Express to create a simple API that can fetch data from your Azure SQL database and return it to your front-end.You can start by installing Node.js and Express on your local machine. Once you have installed these tools, you can create a new file with the .js extension in your src folder to write your back-end code. Inside this file, you can write code to create an Express app and define routes to handle API requests from your front-end. For example:
const express = require('express');
const app = express();
app.get('/quote', (req, res) => {
// fetch a random quote from the database
// and return it as a JSON response
});
app.listen(3000, () => {
console.log('Server listening on port 3000');
});This code creates an Express app and defines a route to handle GET requests to the /quote endpoint. When a request is received at this endpoint, the callback function passed to the app.get method is called.
Inside this callback function, you can write code to fetch a random quote from your Azure SQL database and return it as a JSON response using the res.json method.
You can then start your back-end server by running the node command followed by the name of your back-end file. For example:
node server.js
This assumes that your back-end file is named server.js and is located in your src folder.
Is there anything else you would like to know about creating the back-end part of your project?
Bing AI Chat - Creative
Okay, I will try to help you with the fourth step. To create the back-end part, you can use Node.js to create a web server and handle requests from the front-end. You can write your Node.js code inside the app.js file in the backend folder. You can also use npm to install and manage packages that you need for your back-end. For example, you can use Express to create a web framework and tedious to connect to the SQL database. You can also use online resources like W3Schools or Node.js Docs to learn more about Node.js. For example, you can have something like this:// Import the Express module
var express = require("express");
// Import the tedious module
var tedious = require("tedious");
// Create an Express application
var app = express();
// Define the port number for the server
var port = process.env.PORT || 3000;
// Define the connection configuration for the SQL database
var config = {
server: "your_server_name.database.windows.net",
authentication: {
type: "default",
options: {
userName: "your_user_name",
password: "your_password",
},
},
options: {
database: "your_database_name",
encrypt: true,
},
};
// Create a connection object using the configuration
var connection = new tedious.Connection(config);
// Define a function that executes a query on the database and returns a random quote
function getQuote(callback) {
// Create a request object with the query
var request = new tedious.Request(
"SELECT TOP 1 quote FROM quotes ORDER BY NEWID()",
function (err, rowCount) {
// Handle any errors
if (err) {
console.error(err);
callback(err);
}
}
);
// Define a variable to store the quote
var quote = "";
// Add an event listener to the request that handles each row of data
request.on("row", function (columns) {
// Loop through each column and get its value
columns.forEach(function (column) {
quote = column.value;
});
});
// Add an event listener to the request that handles the end of the query
request.on("requestCompleted", function () {
// Call the callback function with the quote
callback(null, quote);
});
// Execute the request on the connection
connection.execSql(request);
}
// Add a middleware to serve static files from the frontend folder
app.use(express.static("frontend"));
// Add a route handler for GET requests to /quote
app.get("/quote", function (req, res) {
// Call the getQuote function and send the response
getQuote(function (err, quote) {
// If there is an error, send a status code of 500 and an error message
if (err) {
res.status(500).send("Something went wrong.");
}
// Otherwise, send a status code of 200 and a JSON object with the quote
else {
res.status(200).json({ quote: quote });
}
});
});
// Start the server and listen on the port number
app.listen(port, function () {
console.log("Server is running on port " + port);
});
I hope this helps you with the fourth step. If you need more assistance, please let me know.👍
Now guide me step-by-step me how to create an Azure resource group only. Everything from now on should be done in Azure portal.
ChatGPT - GPT4
Here are the step-by-step instructions to create an Azure resource group using the Azure portal:Sign in to the Azure portal.
Click on the menu icon (three horizontal lines) in the top left corner to open the left-hand menu.
In the left-hand menu, click on "Resource groups."
Click on the "+Add" button at the top of the "Resource groups" page.
In the "Basics" tab of the "Add a resource group" panel, do the following:
a. Select your Subscription from the "Subscription" dropdown.
b. Enter a unique name for your new resource group in the "Resource group" field.
c. Choose a region for your resource group in the "Region" dropdown. This region is only used for managing metadata about the resource group and doesn't affect the location of your resources. Select the region that's closest to you or your users.
Click the "Review + create" button at the bottom of the panel.
Review the information for your new resource group. If everything looks correct, click the "Create" button at the bottom of the panel.
Wait for the resource group to be created. Once it's done, you'll see a notification and will be taken to the "Resource groups" page, where your new resource group will be listed.
You have now successfully created an Azure resource group.
ChatGPT - GPT3.5
Sure, here are the steps to create an Azure resource group:Go to the Azure Portal at https://portal.azure.com/. Click on "Resource groups" in the sidebar. Click on the "Add" button at the top of the page. Enter a name for your resource group. Use a name that is descriptive and easy to remember. Select a subscription for the resource group. If you only have one subscription, it should be selected by default. Choose a region for the resource group. The region you choose should be close to your target audience to reduce latency. Review the settings and click the "Review + create" button at the bottom of the page. Review the summary and click the "Create" button to create the resource group. Once you have completed these steps, your resource group will be created in Azure. You can now proceed with creating other Azure resources such as the SQL database and Web App.
Bing AI Chat - Precise
Sure! Here are the steps to create an Azure resource group using the Azure portal:- Sign in to the Azure portal.
- In the left navigation pane, click on "Resource groups".
- Click on the "+Add" button at the top of the "Resource groups" page.
- On the "Basics" tab of the "Create a resource group" page, select your subscription and enter a unique name for your new resource group.
- Choose a region for your resource group. This is where the metadata about your resources will be stored.
- You can add tags to your resource group if you want, but this is optional.
- Click on the "Review + Create" button at the bottom of the page.
- Review your settings and click on the "Create" button to create your new resource group.
After a few moments, your new resource group will be created and you can start adding resources to it.
Is there anything else you would like to know about creating an Azure resource group?
Bing AI Chat - Creative
Okay, I will try to help you with the fifth step. To create an Azure resource group in Azure portal, you can follow these steps²⁴⁵:- Sign in to the Azure portal.
- Select Resource groups from the left navigation pane, and then select Add.
- Enter the following values:
- Subscription: Select your Azure subscription.
- Resource group: Enter a new resource group name.
- Region: Select an Azure location, such as Central US.
- Select Review + Create, and then select Create.
I hope this helps you with the fifth step. If you need more assistance, please let me know.👍
Source: Conversation with Bing, 31/03/2023(1) Manage resource groups - Azure portal - Azure Resource Manager .... https://learn.microsoft.com/en-us/azure/azure-resource-manager/management/manage-resource-groups-portal Accessed 31/03/2023. (2) Step-by-step guide: Azure portal resource groups and resources - TechGenix. https://techgenix.com/azure-portal-resource-groups-and-resources/ Accessed 31/03/2023. (3) An easy guide to Management Group, Subscription and Resource Group in Azure. https://azuresure.com/an-easy-guide-to-resource-group-management-group-and-subscription-in-azure/ Accessed 31/03/2023. (4) An easy guide to Management Group, Subscription and Resource Group in Azure. https://bing.com/search?q=how+to+create+an+azure+resource+group+in+azure+portal Accessed 31/03/2023. (5) Deploy resources with Azure portal - Azure Resource Manager. https://learn.microsoft.com/en-us/azure/azure-resource-manager/templates/deploy-portal Accessed 31/03/2023.
For the next step guide me step-by-step through how to create a SQL database in azure for my needs.
ChatGPT - GPT4
Here are the step-by-step instructions to create an Azure SQL Database for your needs using the Azure portal:Sign in to the Azure portal.
Click on the menu icon (three horizontal lines) in the top left corner to open the left-hand menu.
In the left-hand menu, click on "Create a resource."
In the search box, type "Azure SQL" and press Enter.
Click on the "Azure SQL" result in the list of search results.
Click the "Create" button in the "Azure SQL" pane.
In the "Select SQL deployment option" pane, choose the "Single database" tile, and then click the "Create" button at the bottom.
In the "Basics" tab of the "Create SQL Database" panel, fill out the required information:
a. Subscription: Select your Azure subscription from the dropdown.
b. Resource group: Choose the resource group you created earlier from the dropdown.
c. Database name: Enter a unique name for your new SQL database.
d. Server: Click "Create new" and provide the following details in the "New server" pane:
Server name: Enter a unique name for your new server. Server admin login: Enter a username for the server administrator. Password: Enter a strong password for the server administrator. Confirm password: Re-enter the password to confirm. Location: Choose a region for your server that's closest to you or your users. Click "OK" to create the new server and return to the "Basics" tab.
e. Want to use SQL elastic pool?: Choose "No" since this is a simple project.
f. Compute + storage: Click "Configure database" and choose a pricing tier based on your needs. For a simple project, the "Basic" tier should be sufficient. Click "Apply" to save your selection and return to the "Basics" tab.
Click the "Next: Networking >" button at the bottom to move to the "Networking" tab.
In the "Networking" tab, choose the connectivity method for your SQL database:
a. Connectivity method: Select "Public endpoint."
b. Firewall settings: Click on "Add current client IP address" to allow your current IP address to access the SQL Database. If you need to allow additional IP addresses, you can add them later in the SQL server's firewall settings.
Click the "Review + create" button at the bottom to review your settings.
Review the information for your new SQL database. If everything looks correct, click the "Create" button at the bottom of the panel.
Wait for the SQL database to be created. This might take a few minutes. Once it's done, you'll see a notification, and you can navigate to the "SQL databases" section to see your newly created database.
You have now successfully created an Azure SQL Database.
ChatGPT - GPT3.5
Sure, here are the steps to create a SQL database in Azure:Go to the Azure Portal at https://portal.azure.com/. Navigate to the resource group in which you want to create the SQL database. Click on the "Add" button at the top of the page. Search for "SQL Database" in the search bar and select it. Click on the "Create" button to begin creating a new SQL database. In the "Basics" tab, fill in the following information: Subscription: Select the subscription you want to use. Resource group: Select the resource group in which you want to create the SQL database. Database name: Enter a name for your database. Server: Select "Create new" and enter a name for your SQL server. Server admin login: Enter a username for the server administrator. Password: Enter a password for the server administrator. Confirm password: Confirm the password for the server administrator. Select "Review + create" when you are done. In the "Networking" tab, select "Public endpoint" for connectivity. In the "Additional settings" tab, choose the appropriate pricing tier and configure any additional settings as desired. Click on "Review + create" and then click "Create" to create the SQL database. Once you have completed these steps, your SQL database will be created in Azure. You can now proceed with populating the database with the Confucius quotes.
Bing AI Chat - Precise
Sure! Here are the steps to create an Azure SQL database using the Azure portal:- Sign in to the Azure portal.
- In the left navigation pane, click on "Create a resource".
- In the search box, type "SQL Database" and press enter.
- In the search results, click on "SQL Database" and then click on the "Create" button.
- On the "Basics" tab of the "Create SQL Database" page, select your subscription and the resource group you created earlier.
- Enter a unique name for your new database.
- Choose a source for your database. You can create a blank database, restore from a backup, or choose a sample.
- Choose a compute + storage configuration for your database. You can use the default configuration or customize it to meet your needs.
- Click on the "Next: Networking" button at the bottom of the page.
- On the "Networking" tab, choose how you want to connect to your database. You can choose to allow access from Azure services and resources or add a firewall rule to allow access from specific IP addresses.
- Click on the "Next: Additional settings" button at the bottom of the page.
- On the "Additional settings" tab, you can configure additional settings for your database such as collation and data source if you want, but this is optional.
- Click on the "Review + Create" button at the bottom of the page.
- Review your settings and click on the "Create" button to create your new SQL database.
After a few moments, your new SQL database will be created and you can start using it.
Is there anything else you would like to know about creating an Azure SQL database?
Bing AI Chat - Creative
Okay, I will try to help you with the sixth step. To create a SQL database in Azure portal, you can follow these steps²⁴⁵:- Sign in to the Azure portal.
- Select Create a resource from the Azure portal menu, or from the Home page.
- In the Search box, enter SQL Database. From the results list, select SQL Database.
- On the Basics tab of the Create SQL Database form, under Project details, select your Azure subscription and the resource group that you created in the previous step.
- For Database name, enter a name for your database, such as confucius-quotes-db.
- For Server, select Create new, and fill out the New server form with the following values:
- Server name: Enter a name for your server, such as confucius-quotes-server. The server name must be globally unique for all servers in Azure, not just unique within a subscription. The portal lets you know if it's available or not.
- Location: Select a location from the dropdown list. It is recommended to use the same location as your resource group.
- Authentication method: Select Use SQL authentication.
- Server admin login: Enter a username for your server admin account, such as azureuser. Don't use "serveradmin" because that's a reserved server-level role.
- Password: Enter a password that meets requirements, and enter it again in the Confirm password field. Remember this password as you will need it later to connect to your database.
- Select OK.
- Leave Want to use SQL elastic pool set to No.
- Under Compute + storage, select Configure database. You can choose a service tier and a compute tier for your database based on your performance and cost requirements. For this quickstart, you can use the default values of General Purpose service tier and Provisioned compute tier. Select Apply.
- Under Backup storage redundancy, choose a redundancy option for the storage account where your backups will be saved. To learn more, see backup storage redundancy.
- Select Next: Networking at the bottom of the page.
- On the Networking tab, for Connectivity method, select Public endpoint.
- For Firewall rules, set Add current client IP address to Yes. This allows you to connect to your database from your current IP address. You can also add more IP addresses or ranges that you want to allow access to your database later.
- Leave Allow Azure services and resources to access this server set to No.
- Under Connection policy, choose the Default connection policy, and leave the Minimum TLS version at the default of TLS 1.2.
- Select Next: Security at the bottom of the page.
- On the Security page, you can choose to start a free trial of Microsoft Defender for SQL, as well as configure Ledger, Managed identities and Transparent data encryption (TDE) if you desire.
- Select Next: Additional settings at the bottom of the page.
- On the Additional settings page, you can choose to use an existing data source or a sample database to populate your database. For this quickstart, you can leave Data source set to None and Collation set to SQL_Latin1_General_CP1_CI_AS. You can also configure Advanced data security settings if you desire.
- Select Review + create at the bottom of the page.
- Review the values on the Summary page, and then select Create.
I hope this helps you with the sixth step. If you need more assistance, please let me know.👍
Source: Conversation with Bing, 31/03/2023(1) Create a single database - Azure SQL Database | Microsoft Learn. https://learn.microsoft.com/en-us/azure/azure-sql/database/single-database-create-quickstart?view=azuresql Accessed 31/03/2023. (2) Working | How to Create SQL Database in Azure? - EDUCBA. https://www.educba.com/azure-sql-database/ Accessed 31/03/2023. (3) How To Create Azure SQL Database Using Azure Portal. https://www.c-sharpcorner.com/article/how-to-create-azure-sql-database-using-azure-portal/ Accessed 31/03/2023. (4) Free SQL Database with Azure free account - Azure SQL Database. https://learn.microsoft.com/en-us/azure/azure-sql/database/free-sql-db-free-account-how-to-deploy?view=azuresql Accessed 31/03/2023. (5) Quickstart: Create an Azure SQL Managed Instance (portal) - Azure SQL .... https://learn.microsoft.com/en-us/azure/azure-sql/managed-instance/instance-create-quickstart?view=azuresql Accessed 31/03/2023.
And now how to easily populate this database with at least 15 Confucius quotes
ChatGPT - GPT4
To populate the Azure SQL Database with at least 15 Confucius quotes, you can use the SQL Server Management Studio (SSMS) or Azure Data Studio. For this example, I'll show you how to use Azure Data Studio.Install Azure Data Studio if you haven't already. You can download it from the official website.
Open Azure Data Studio.
Click the "New Connection" icon (the plug icon) in the top left corner to create a new connection to your Azure SQL Database.
Fill in the connection details:
Server: Enter the server name you provided while creating the Azure SQL Database. Authentication type: Choose "SQL Login." User name: Enter the server admin login you provided while creating the Azure SQL Database. Password: Enter the password you provided while creating the Azure SQL Database. Database: Select your database from the dropdown. Click "Connect" to establish the connection.
Once connected, right-click on your database name in the "Servers" tab on the left-hand side and select "New Query."
Copy and paste the following SQL script into the query editor:
CREATE TABLE Quotes (
ID INT PRIMARY KEY IDENTITY(1,1),
Text NVARCHAR(MAX) NOT NULL
);
INSERT INTO Quotes (Text)
VALUES ('It does not matter how slowly you go as long as you do not stop.'),
('Our greatest glory is not in never falling, but in rising every time we fall.'),
('Everything has beauty, but not everyone sees it.'),
('He who learns but does not think is lost! He who thinks but does not learn is in great danger.'),
('To be wronged is nothing, unless you continue to remember it.'),
('The man who moves a mountain begins by carrying away small stones.'),
('When it is obvious that the goals cannot be reached, don’t adjust the goals, adjust the action steps.'),
('Wherever you go, go with all your heart.'),
('The funniest people are the saddest once.'),
('The hardest thing of all is to find a black cat in a dark room, especially if there is no cat.'),
('Respect yourself and others will respect you.'),
('Ask yourself constantly, "What is the right thing to do?"'),
('When you are laboring for others, let it be with the same zeal as if it were for yourself.'),
('The superior man is modest in his speech, but exceeds in his actions.'),
('To see what is right and not do it is the worst cowardice.');
Execute the script by clicking the "Run" button (the green triangle) at the top of the query editor.
After the script execution completes successfully, your "Quotes" table will be created, and it will contain 15 Confucius quotes.
You've now populated your Azure SQL Database with 15 Confucius quotes.
ChatGPT - GPT3.5
Sure, here's one way to easily populate your SQL database with at least 15 Confucius quotes:Create a new table in your SQL database to hold the quotes. For example:
CREATE TABLE quotes (
id INT IDENTITY(1,1) PRIMARY KEY,
text NVARCHAR(MAX)
);
This will create a table with two columns: an auto-incrementing ID column and a column to hold the quote text.
Open a new query window in Azure Data Studio or SQL Server Management Studio. Generate a list of Confucius quotes. You can find many lists of Confucius quotes online, such as this one: https://www.keepinspiring.me/confucius-quotes/ For each quote, write a SQL query to insert the quote into the quotes table. For example:
INSERT INTO quotes (text) VALUES ('It does not matter how slowly you go as long as you do not stop.');
You can copy and paste this query for each quote, changing the quote text each time. Be sure to include the quotes around the text value.
Run each insert query in the query window to insert the quotes into the database. Once you have completed these steps, your SQL database will be populated with at least 15 Confucius quotes. You can now proceed with connecting your front-end and back-end code to the database to retrieve and display the quotes on your website.
Bing AI Chat - Precise
To populate your Azure SQL database with Confucius quotes, you can use the Query editor in the Azure portal or use a tool such as SQL Server Management Studio (SSMS) to connect to your database and run SQL commands.Here are the steps to populate your database with Confucius quotes using the Query editor in the Azure portal:
- Sign in to the Azure portal.
- In the left navigation pane, click on "SQL databases".
- Click on the name of your database to open its overview page.
- In the toolbar at the top of the page, click on "Query editor (preview)".
- Sign in to the Query editor using your Azure SQL Database server admin credentials.
- In the Query editor, you can write and execute SQL commands to create a table to store your quotes and insert data into it.
For example, you can create a table named quotes with two columns: id and quote. The id column is an integer that uniquely identifies each quote and the quote column is a string that contains the text of the quote.
Here is an example SQL command to create the quotes table:
CREATE TABLE quotes (
id INT PRIMARY KEY,
quote NVARCHAR(MAX)
);You can then insert rows into the quotes table to add your Confucius quotes. Here is an example SQL command to insert a quote into the quotes table:
INSERT INTO quotes (id, quote)
VALUES (1, 'It does not matter how slowly you go as long as you do not stop.');You can repeat this command with different values for id and quote to insert more quotes into your table.
Is there anything else you would like to know about populating your Azure SQL database with Confucius quotes?
Bing AI Chat - Creative
Okay, I will try to help you with the seventh step. To populate your SQL database with Confucius quotes, you can use the Query editor in the Azure portal to run SQL queries against your database¹. You can follow these steps:- Sign in to the Azure portal.
- Select SQL databases from the left menu of the Azure portal. If SQL databases is not in the list, select All services, and then enter SQL databases in the search box.
- Select your database name (confucius-quotes-db) from the list of databases.
- Select Query editor (preview) from the left menu of your database page.
- On the sign-in screen, provide credentials to connect to the database. You can connect using SQL authentication or Azure AD. To connect with SQL authentication, under SQL server authentication, enter your server admin login and password that you created in the previous step, and then select OK.
- On the Query editor page, paste the following SQL query into the query editor. This query creates a table called quotes and inserts 15 Confucius quotes into it.
CREATE TABLE quotes (
id INT IDENTITY PRIMARY KEY,
quote NVARCHAR(500) NOT NULL
);
INSERT INTO quotes (quote) VALUES
('The man who moves a mountain begins by carrying away small stones.'),
('Everything has beauty, but not everyone sees it.'),
('It does not matter how slowly you go as long as you do not stop.'),
('He who knows all the answers has not been asked all the questions.'),
('The journey with a 1000 miles begins with one step.'),
('Life is really simple, but we insist on making it complicated.'),
('By three methods we may learn wisdom: First, by reflection, which is noblest; Second, by imitation, which is easiest; and third by experience, which is the bitterest.'),
('Choose a job you love, and you will never have to work a day in your life.'),
('Wheresoever you go, go with all your heart.'),
('Our greatest glory is not in never falling, but in rising every time we fall.'),
('To be wronged is nothing, unless you continue to remember it.'),
('When anger rises, think of the consequences.'),
('The more man meditates upon good thoughts, the better will be his world and the world at large.'),
('Before you embark on a journey of revenge, dig two graves.'),
('What you do not want done to yourself, do not do to others.');
- Select Run to execute the query. After the query runs, the Messages pane displays Query succeeded: Affected rows: 16.
I hope this helps you with the seventh step. If you need more assistance, please let me know.👍
Source: Conversation with Bing, 31/03/2023(1) Query SQL Database with query editor in the Azure portal - Azure SQL .... https://learn.microsoft.com/en-us/azure/azure-sql/database/connect-query-portal?view=azuresql Accessed 31/03/2023. (2) Create a single database - Azure SQL Database | Microsoft Learn. https://learn.microsoft.com/en-us/azure/azure-sql/database/single-database-create-quickstart?view=azuresql Accessed 31/03/2023. (3) How To Create Azure SQL Database Using Azure Portal. https://www.c-sharpcorner.com/article/how-to-create-azure-sql-database-using-azure-portal/ Accessed 31/03/2023. (4) sql - Manually populate Azure database - Stack Overflow. https://stackoverflow.com/questions/49289368/manually-populate-azure-database Accessed 31/03/2023.
Do I have to modify any file from above after I did the SQL database?
ChatGPT - GPT4
Yes, you need to modify the databaseConnection.js file in your backend to include the correct connection details for your newly created Azure SQL Database. Replace the placeholders in the config object with your actual Azure SQL Database connection details:const config = {
user: 'your_database_user', // Replace with your database username
password: 'your_database_password', // Replace with your database password
server: 'your_database_server', // Replace with your database server name
database: 'your_database_name', // Replace with your database name
options: {
encrypt: true,
enableArithAbort: true
}
};
You can find these details in the Azure portal:
Sign in to the Azure portal. Navigate to your SQL Database resource. In the "Overview" tab, you will find the server name. Click on the server name to navigate to the SQL server resource. In the "Overview" tab of the SQL server resource, you will find the server admin login (username). Make sure you use the password you set when you created the SQL server. After updating the databaseConnection.js file with the correct connection details, your backend will be able to connect to the Azure SQL Database and fetch random quotes from the "Quotes" table.
ChatGPT - GPT3.5
Yes, after creating the SQL database, you will need to update the connection string in your back-end code (app.js) to include the necessary credentials and connection information for your database.The exact steps to update the connection string will depend on the database service you are using (e.g. Azure SQL Database, SQL Server on Azure Virtual Machines, etc.) and the method you are using to connect to it (e.g. mssql package, pyodbc package, etc.).
Here's an example of what the connection string in app.js might look like using the mssql package:
const config = {
user: 'your_username',
password: 'your_password',
server: 'your_server.database.windows.net',
database: 'your_database_name',
options: {
encrypt: true,
enableArithAbort: true,
},
};
// Set up a connection pool to the database
const pool = await mssql.connect(config);
You will need to replace your_username, your_password, your_server, and your_database_name with the actual values for your SQL database.
Note that you should never hard-code sensitive information like passwords and connection strings directly in your code. Instead, you can store this information in environment variables or in a configuration file and read it into your code at runtime. This will help to protect your sensitive information from being exposed in your code repository.
Bing AI Chat - Precise
After creating and populating your Azure SQL database, you may need to modify your back-end code to connect to your database and fetch data from it.In your back-end code, you can use a Node.js library such as mssql to connect to your Azure SQL database and run SQL commands to fetch data from it. You will need to provide the connection details for your database such as the server name, database name, and authentication credentials.
Here is an example of how you can use the mssql library to connect to your Azure SQL database and fetch a random quote from the quotes table:
const sql = require('mssql');
const config = {
user: '<your-database-username>',
password: '<your-database-password>',
server: '<your-database-server-name>',
database: '<your-database-name>'
};
async function getRandomQuote() {
try {
await sql.connect(config);
const result = await sql.query`SELECT TOP 1 quote FROM quotes ORDER BY NEWID()`;
return result.recordset[0].quote;
} catch (err) {
console.error(err);
}
}This code uses the mssql library to connect to your Azure SQL database using the connection details provided in the config object. It then defines an asynchronous function named getRandomQuote that uses the sql.query method to run a SQL command that selects a random quote from the quotes table and returns it.
You can then call this function in your route handler for the /quote endpoint to fetch a random quote from your database and return it as a JSON response.
Is there anything else you would like to know about modifying your back-end code after creating your Azure SQL database?
Bing AI Chat - Creative
Yes, you may have to modify some files from above after you created the SQL database. For example, you may have to update the connection configuration for the SQL database in your backend/db.js file. You can use the connection strings that are provided in the Azure portal for your database. To find the connection strings, you can follow these steps:- Sign in to the Azure portal.
- Select SQL databases from the left menu of the Azure portal. If SQL databases is not in the list, select All services, and then enter SQL databases in the search box.
- Select your database name (confucius-quotes-db) from the list of databases.
- Select Connection strings from the left menu of your database page.
- Copy the connection string for Node.js (tedious) and replace the placeholders with your server admin login and password.
For example, your connection string may look something like this:
Server=tcp:confucius-quotes-server.database.windows.net,1433;Authentication=Active Directory Password;Database=confucius-quotes-db;UID=azureuser;PWD=your_password;Encrypt=true;TrustServerCertificate=false;Connection Timeout=30;
You can use this connection string to update your config object in your backend/db.js file. For example, you can have something like this:
// Define the connection configuration for the SQL database
var config = {
server: "confucius-quotes-server.database.windows.net",
authentication: {
type: "default",
options: {
userName: "azureuser",
password: "your_password",
},
},
options: {
database: "confucius-quotes-db",
encrypt: true,
},
};
I hope this helps you with your question. If you need more assistance, please let me know.👍
Next step I want to create the Web App in Azure, being the node app from above. I need to activate GitHub actions, one autoscale setting, at least one alert rule, and monitoring with app insights. Please answer me in detail about what I have to do.
ChatGPT - GPT4
Here's a detailed guide on creating the Azure Web App, setting up GitHub Actions for CI/CD, configuring autoscaling, creating an alert rule, and enabling monitoring with Application Insights.Create the Azure Web App:
a. Sign in to the Azure portal.
b. Click on "Create a resource" in the left-hand menu.
c. In the search box, type "Web App" and press Enter.
d. Click on the "Web App" result in the list of search results.
e. Click the "Create" button in the "Web App" pane.
f. Fill out the required information in the "Basics" tab:
Subscription: Select your Azure subscription. Resource Group: Choose the resource group you created earlier. Name: Enter a unique name for your web app. Operating System: Select "Linux." Runtime stack: Select "Node.js" and choose the desired version. Region: Choose a region closest to you or your users. g. Click "Next: Monitoring >" to move to the "Monitoring" tab.
Enable Application Insights:
a. In the "Monitoring" tab, set "Enable Application Insights" to "Yes."
b. Choose an existing Application Insights resource or create a new one.
c. Click "Review + create" and review your settings. If everything looks correct, click "Create" to start the deployment.
Set up GitHub Actions for CI/CD:
a. Navigate to your GitHub repository.
b. Click on the "Actions" tab.
c. Click "set up a workflow yourself" to create a new GitHub Actions workflow.
d. Replace the contents of the YAML file with the following configuration, replacing <your_azure_webapp_name> with the name of your Azure Web App and <your_azure_subscription_id> with your Azure subscription ID:
name: Node.js CI/CD
on:
push:
branches:
- main
jobs:
build:
runs-on: ubuntu-latest
strategy:
matrix:
node-version: [14.x]
steps:
- uses: actions/checkout@v2
- name: Use Node.js ${{ matrix.node-version }}
uses: actions/setup-node@v2
with:
node-version: ${{ matrix.node-version }}
- run: npm ci
- run: npm run build --if-present
- run: npm test
deploy:
needs: build
runs-on: ubuntu-latest
steps:
- name: 'Checkout GitHub Action'
uses: actions/checkout@v2
- name: 'Login via Azure CLI'
uses: azure/login@v1
with:
creds: ${{ secrets.AZURE_CREDENTIALS }}
- name: 'Deploy to Azure Web App'
uses: azure/webapps-deploy@v2
with:
app-name: <your_azure_webapp_name>
publish-profile: ${{ secrets.AZURE_WEBAPP_PUBLISH_PROFILE }}
package: .
- name: 'Logout of Azure CLI'
run: |
az logout
e. To set up the AZURE_CREDENTIALS and AZURE_WEBAPP_PUBLISH_PROFILE secrets, follow these steps:
- Go to your GitHub repository's "Settings" tab.
- Click on "Secrets" in the left sidebar.
- Click on "New repository secret."
- Add the
AZURE_CREDENTIALSsecret with the JSON content of your Azure Service Principal
e. To set up the AZURE_CREDENTIALS and AZURE_WEBAPP_PUBLISH_PROFILE secrets, follow these steps (continued):
Add the AZURE_CREDENTIALS secret with the JSON content of your Azure Service Principal. To create a Service Principal, follow the instructions in the official Microsoft documentation. Once created, copy the JSON and paste it as the secret value. Add the AZURE_WEBAPP_PUBLISH_PROFILE secret with the content of your Azure Web App's publish profile. To download the publish profile, go to the Azure portal, navigate to your Web App, and click on "Get publish profile" in the "Overview" tab. Open the downloaded file, copy its content, and paste it as the secret value. f. Commit the YAML file to your repository. GitHub Actions will start building and deploying your app automatically when you push changes to the main branch.
Configure autoscaling:
a. In the Azure portal, navigate to your Web App.
b. In the left sidebar, click on "Scale out (App Service plan)."
c. Click on "Custom autoscale."
d. Click on "Add a rule" to create an autoscale setting. You can configure the rule based on various metrics, such as CPU usage or memory usage. For example, you can set a rule to scale out when the average CPU usage is above 70% for the last 10 minutes and scale in when the average CPU usage is below 30% for the last 10 minutes.
e. Click "Save" to apply your autoscaling settings.
Create an alert rule:
a. In the Azure portal, navigate to your Web App.
b. In the left sidebar, click on "Alerts."
c. Click on "New alert rule."
d. In the "Conditions" section, click on "Add" to define the criteria for the alert. You can set up an alert based on various metrics, such as response time, CPU usage, or memory usage. For example, you can create an alert when the average response time is greater than 1000ms for the last 5 minutes.
e. In the "Actions" section, click on "Add" to configure the action to take when the alert is triggered. You can send an email, call a webhook, or execute a function, among other options.
f. Click "Create alert rule" to save your alert rule.
After completing these steps, you will have an Azure Web App running your Node.js application with GitHub Actions for CI/CD, autoscaling, an alert rule, and monitoring using Application Insights.
ChatGPT - GPT3.5
Sure, here are the steps to create a Web App in Azure and set up GitHub Actions, autoscaling, alert rules, and monitoring with App Insights:Go to the Azure Portal at https://portal.azure.com/. Navigate to the resource group in which you want to create the Web App. Click on the "Add" button at the top of the page. Search for "Web App" in the search bar and select it. Click on the "Create" button to begin creating a new Web App. In the "Basics" tab, fill in the following information: Subscription: Select the subscription you want to use. Resource group: Select the resource group in which you want to create the Web App. Name: Enter a name for your Web App. This should be unique within Azure and will be used to create a unique URL for your app. Publish: Select "Code" for this option. Runtime stack: Select "Node.js". Version: Select the version of Node.js that your app requires. Region: Select a region that is geographically close to your target audience. Select "Review + create" when you are done. In the "Review + create" tab, review your settings and click the "Create" button to create the Web App. Once the Web App is created, navigate to its resource page and click on "Deployment Center" in the left-hand menu. This will allow you to set up continuous deployment from your GitHub repository to your Web App. In the "Deployment Center" page, select "GitHub" as the source and click the "Authorize" button to authorize Azure to access your GitHub account. Select the repository that contains your Node.js app and configure the deployment options as desired. You can choose to deploy from a branch or specific commit, enable automatic deployments, and configure deployment slots. Once you have configured the deployment settings, click "Save" to save your changes and initiate the first deployment. To set up autoscaling for your Web App, navigate to its resource page and click on "Scale out (App Service Plan)" in the left-hand menu. Select the "Enable autoscale" checkbox and configure the autoscaling settings as desired. You can choose to scale based on CPU usage or other metrics, set the minimum and maximum instance count, and set up notification alerts. Once you have configured the autoscaling settings, click "Save" to save your changes. To set up alert rules for your Web App, navigate to its resource page and click on "Alerts" in the left-hand menu. Click on the "New alert rule" button to create a new alert rule. Select the appropriate resource type, resource group, and resource for the alert rule. Configure the alert conditions and actions as desired. For example, you could set an alert to trigger when CPU usage exceeds a certain threshold and send an email notification when the alert is triggered. Once you have configured the alert rule, click "Create alert rule" to create the rule. To set up monitoring with App Insights, navigate to the resource page for your Web App and click on "Application Insights" in the left-hand menu. If you haven't set up App Insights for your Azure subscription yet, you will need to create a new instance of App Insights by clicking on the "Create" button and following the prompts. Once App Insights is set up, you will need to enable it for your Web App by clicking on the "Enable Application Insights" button and selecting the App Insights instance you just created. Once App Insights is set up, you will be able to view telemetry data for your Web App such as server response time, request rates, and error rates. You can also set up custom metrics and alerts based on this data. To view App Insights data, navigate to the App Insights resource page and select the "Metrics" tab. You can select various metrics such as requests per second, server response time, and exceptions to view charts and graphs of the data. To set up custom metrics and alerts, select the "Alerts" tab and click on the "New alert rule" button to create a new alert rule. You can select from various metrics and conditions to trigger alerts and set up actions to take when the alert is triggered. That's it! Your Web App is now set up with GitHub Actions, autoscaling, alert rules, and monitoring with App Insights. You can now push updates to your GitHub repository and the Web App will automatically deploy the changes. The Web App will also scale up or down based on the autoscaling settings and trigger alerts and actions based on the alert rules you have set up.
Bing AI Chat - Precise
Sure! Here are the steps to create a Web App in Azure and configure it with GitHub Actions, Autoscale setting, Alert rule, and monitoring with App Insights:- Sign in to the Azure portal.
- In the left navigation pane, click on "Create a resource".
- In the search box, type "Web App" and press enter.
- In the search results, click on "Web App" and then click on the "Create" button.
- On the "Basics" tab of the "Create Web App" page, select your subscription and the resource group you created earlier.
- Enter a unique name for your new Web App.
- Choose a runtime stack for your Web App. Since you are creating a Node.js app, you can choose "Node.js" as the runtime stack.
- Choose an operating system for your Web App. You can choose either Windows or Linux.
- Choose a region for your Web App. This is where your Web App will be hosted.
- Click on the "Next: Deployment" button at the bottom of the page.
- On the "Deployment" tab, choose "GitHub" as the source control provider and follow the prompts to authorize Azure to access your GitHub account.
- Choose the repository and branch where your Node.js app is located.
- Click on the "Review + Create" button at the bottom of the page.
- Review your settings and click on the "Create" button to create your new Web App.
After a few moments, your new Web App will be created and deployed using GitHub Actions.
To configure Autoscale setting for your Web App:
- In the Azure portal, go to your Web App's overview page.
- In the left navigation pane, click on "Scale out (App Service plan)" under the "Settings" section.
- Click on the "Enable autoscale" button at the top of the page.
- Configure the autoscale settings according to your needs and click on the "Save" button to save your changes.
To configure an Alert rule for your Web App:
- In the Azure portal, go to your Web App's overview page.
- In the left navigation pane, click on "Alerts" under the "Monitoring" section.
- Click on the "New alert rule" button at the top of the page.
- Configure the alert rule according to your needs and click on the "Create alert rule" button to save your changes.
To enable monitoring with App Insights for your Web App:
- In the Azure portal, go to your Web App's overview page.
- In the left navigation pane, click on "Application Insights" under the "Settings" section.
- Follow the prompts to create a new Application Insights resource or use an existing one.
- Once Application Insights is enabled for your Web App, you can view monitoring data such as requests, exceptions, and logs in the Application Insights overview page.
Is there anything else you would like to know about creating a Web App in Azure and configuring it with GitHub Actions, Autoscale setting, Alert rule, and monitoring with App Insights?
Bing AI Chat - Creative
Okay, I will try to help you with the ninth step. To create a Web App in Azure portal with GitHub actions and App Insights, you can follow these steps¹²:- Sign in to the Azure portal.
- Select Create a resource from the Azure portal menu, or from the Home page.
- In the Search box, enter Web App. From the results list, select Web App.
- On the Basics tab of the Create Web App form, under Project details, select your Azure subscription and the resource group that you created in the previous step.
- For Instance Details, enter a name for your web app, such as confucius-quotes-app. The web app name must be globally unique for all web apps in Azure, not just unique within a subscription. The portal lets you know if it's available or not.
- For Publish, select Code.
- For Runtime stack, select Node 14 LTS.
- For Operating System, select Linux.
- For Region, select a location from the dropdown list. It is recommended to use the same location as your resource group and your SQL database.
- Select Next: Monitoring at the bottom of the page.
- On the Monitoring tab, for Enable Application Insights, select Yes. This will create an Application Insights resource for your web app and enable monitoring features such as availability tests, performance monitoring, and alerts. You can also configure additional settings such as sampling percentage and retention period if you desire.
- Select Review + create at the bottom of the page.
- Review the values on the Summary page, and then select Create.
After your web app is created, you can configure GitHub actions to automate your deployment from GitHub to Azure²³. You can follow these steps:
- In GitHub, browse your repository that contains your node js app code. If you don't have one, you can create one and push your code to it.
- Select Settings > Security > Secrets and variables > Actions > New repository secret. To use app-level credentials, paste the contents of the publish profile file that you downloaded in the previous step into the secret's value field. Name the secret AZURE_WEBAPP_PUBLISH_PROFILE.
- Select Actions from your repository page. If you have an existing workflow file in your repository, you can edit it or create a new one. If you don't have any workflow file, you can choose a template or set up a workflow yourself.
- To set up a workflow yourself, select set up a workflow yourself. This will create a new workflow file with some default content. You can edit this file to suit your needs. For example, you can have something like this:
# This is a basic workflow to help you get started with Actions
name: CI/CD
# Controls when the action will run.
on:
# Triggers the workflow on push or pull request events but only for the main branch
push:
branches: [ main ]
pull_request:
branches: [ main ]
# Allows you to run this workflow manually from the Actions tab
workflow_dispatch:
# A workflow run is made up of one or more jobs that can run sequentially or in parallel
jobs:
# This job deploys your node js app to Azure Web App
deploy:
# The type of runner that the job will run on
runs-on: ubuntu-latest
# Steps represent a sequence of tasks that will be executed as part of the job
steps:
# Checks-out your repository under $GITHUB_WORKSPACE, so your job can access it
- uses: actions/checkout@v2
# Sets up Node.js environment
- name: Setup Node.js environment
uses: actions/setup-node@v2
with:
node-version: '14.x'
# Installs dependencies and builds your app
- name: npm install and build
run: |
npm install
npm run build --if-present
# Deploys your app to Azure Web App using publish profile
- name: Deploy to Azure Web App
uses: azure/webapps-deploy@v2
with:
app-name: 'confucius-quotes-app'
publish-profile: ${{ secrets.AZURE_WEBAPP_PUBLISH_PROFILE }}
package: .
- Select Start commit to commit your workflow file to your repository. This will trigger your workflow to run and deploy your app to Azure Web App.
I hope this helps you with the ninth step. If you need more assistance, please let me
Source: Conversation with Bing, 31/03/2023(1) Configure CI/CD with GitHub Actions - Azure App Service. https://learn.microsoft.com/en-us/azure/app-service/deploy-github-actions Accessed 31/03/2023. (2) GitHub Action for deploying to Azure Web App. https://github.com/Azure/webapps-deploy Accessed 31/03/2023. (3) How to use GitHub Actions from Azure App Service. https://techcommunity.microsoft.com/t5/azure-developer-community-blog/azure-tips-and-tricks-how-to-use-github-actions-from-azure-app/ba-p/3522473 Accessed 31/03/2023.
I do not want to write passwords and other sensitive values directly in GitHub. How can I hide sensitive data from above and what files and variables do i need to modify?
ChatGPT - GPT4
To hide sensitive data, you can use environment variables and GitHub Secrets. In the previous response, I already showed you how to use GitHub Secrets for your AZURE_CREDENTIALS and AZURE_WEBAPP_PUBLISH_PROFILE.Now, let's set up environment variables to hide sensitive data in the databaseConnection.js file.
In the databaseConnection.js file, update the config object to read the connection details from environment variables:
const config = {
user: process.env.DB_USER,
password: process.env.DB_PASSWORD,
server: process.env.DB_SERVER,
database: process.env.DB_NAME,
options: {
encrypt: true,
enableArithAbort: true
}
};
Create a .env file in the root of your backend folder to store your local environment variables:
DB_USER=your_database_user
DB_PASSWORD=your_database_password
DB_SERVER=your_database_server
DB_NAME=your_database_name
Install the dotenv package to load the environment variables from the .env file: bash Copy code npm install dotenv In your index.js file (or the main entry point of your backend), add the following line at the very beginning to load the environment variables: javascript Copy code require('dotenv').config(); Add the .env file to your .gitignore file to prevent it from being committed to your GitHub repository: bash Copy code .env Configure GitHub Actions to use the environment variables during deployment. Update the 'Deploy to Azure Web App' step in your GitHub Actions workflow YAML file:
- name: 'Deploy to Azure Web App'
uses: azure/webapps-deploy@v2
with:
app-name: <your_azure_webapp_name>
publish-profile: ${{ secrets.AZURE_WEBAPP_PUBLISH_PROFILE }}
package: .
env:
DB_USER: ${{ secrets.DB_USER }}
DB_PASSWORD: ${{ secrets.DB_PASSWORD }}
DB_SERVER: ${{ secrets.DB_SERVER }}
DB_NAME: ${{ secrets.DB_NAME }}
Store the database connection details as GitHub Secrets:
a. Go to your GitHub repository's "Settings" tab. b. Click on "Secrets" in the left sidebar. c. Click on "New repository secret." d. Add the following secrets: DB_USER, DB_PASSWORD, DB_SERVER, and DB_NAME, with their respective values.
Now, your sensitive data is hidden from your GitHub repository and securely stored in environment variables and GitHub Secrets.
ChatGPT - GPT3.5
To avoid exposing sensitive data like passwords and connection strings directly in your GitHub repository, you can use GitHub Secrets to securely store and retrieve this information at runtime. GitHub Secrets are encrypted environment variables that can be accessed by your GitHub Actions workflows and are not visible to anyone with access to your GitHub repository.Here's how to use GitHub Secrets to store and access sensitive data for your project:
In your GitHub repository, go to "Settings" and click on "Secrets" in the left-hand menu. Click on the "New repository secret" button to create a new secret. Enter a name for the secret and the value of the secret (e.g. your SQL database password). Click "Add secret" to save the secret. Now that you have added the secret, you can reference it in your GitHub Actions workflows using the ${{ secrets.SECRET_NAME }} syntax, where "SECRET_NAME" is the name of the secret you created.
For example, you can update your app.js file to use the following code to read the SQL database password from a GitHub Secret:
const config = {
user: 'your_username',
password: process.env.SQL_DB_PASSWORD,
server: 'your_server.database.windows.net',
database: 'your_database_name',
options: {
encrypt: true,
enableArithAbort: true,
},
};
// Set up a connection pool to the database
const pool = await mssql.connect(config);
Note that we are using process.env.SQL_DB_PASSWORD to reference the SQL database password as an environment variable. This environment variable is set by GitHub Actions at runtime and retrieves its value from the corresponding GitHub Secret.
You can use this approach to store and retrieve other sensitive information like API keys, access tokens, and other configuration values that should not be publicly exposed in your code repository.
Bing AI Chat - Precise
It's a good practice to avoid storing sensitive data such as passwords and connection strings directly in your GitHub repository. Instead, you can use environment variables to store this data and access it in your code.In your Node.js app, you can use the process.env object to access the values of environment variables. For example, if you have an environment variable named DB_PASSWORD that stores the password for your Azure SQL database, you can access its value in your code like this:
const dbPassword = process.env.DB_PASSWORD;To set the value of an environment variable in your local development environment, you can create a .env file in the root of your project folder and add your environment variables to it. For example:
DB_PASSWORD=your-db-password
Make sure to add the .env file to your .gitignore file so that it is not committed to your GitHub repository.
In your Azure Web App, you can set the values of environment variables using the Application Settings feature. Here are the steps to set an environment variable in your Azure Web App:
- In the Azure portal, go to your Web App's overview page.
- In the left navigation pane, click on "Configuration" under the "Settings" section.
- Click on the "Application settings" tab.
- Click on the "New application setting" button and enter the name and value of your environment variable.
- Click on the "OK" button to save your changes.
After setting the value of your environment variable in your Azure Web App, you can access its value in your code using the process.env object just like in your local development environment.
Is there anything else you would like to know about hiding sensitive data in your GitHub repository and using environment variables?
Bing AI Chat - Creative
I understand that you do not want to write passwords and other sensitive values directly in GitHub. You can hide sensitive data by using GitHub secrets and environment variables. GitHub secrets are encrypted values that you can store in your repository settings and use in your workflow files. Environment variables are values that you can set in your workflow files and use in your code. For example, you can follow these steps:- In GitHub, browse your repository that contains your node js app code.
- Select Settings > Security > Secrets and variables > Actions > New repository secret. To use app-level credentials, paste the contents of the publish profile file that you downloaded in the previous step into the secret's value field. Name the secret AZURE_WEBAPP_PUBLISH_PROFILE. This will hide your publish profile credentials from your workflow file.
- In your workflow file, use the secret as an input to the azure/webapps-deploy action. For example, you can have something like this:
- name: Deploy to Azure Web App
uses: azure/webapps-deploy@v2
with:
app-name: 'confucius-quotes-app'
publish-profile: ${{ secrets.AZURE_WEBAPP_PUBLISH_PROFILE }}
package: .
- In your backend/db.js file, use environment variables to store your SQL database credentials. For example, you can have something like this:
// Define the connection configuration for the SQL database
var config = {
server: process.env.SQL_SERVER_NAME,
authentication: {
type: "default",
options: {
userName: process.env.SQL_USER_NAME,
password: process.env.SQL_PASSWORD,
},
},
options: {
database: process.env.SQL_DATABASE_NAME,
encrypt: true,
},
};
- In your workflow file, use the env keyword to set the environment variables for your SQL database credentials. For example, you can have something like this:
env:
SQL_SERVER_NAME: 'confucius-quotes-server.database.windows.net'
SQL_USER_NAME: 'azureuser'
SQL_PASSWORD: 'your_password'
SQL_DATABASE_NAME: 'confucius-quotes-db'
I hope this helps you with your question. If you need more assistance, please let me know.👍
Did I complete all my requirements? Is there anything else to do or is the project done?
ChatGPT - GPT4
Yes, you have completed all the requirements mentioned in your initial request. Here's a summary of what you have accomplished:Created the file structure for the project. Developed HTML and CSS files for the frontend with a Chinese vibe. Implemented a simple frontend with a button to fetch random quotes. Developed a simple backend to fetch random quotes from the SQL database. Created an Azure resource group. Created an Azure SQL Database and populated it with Confucius quotes. Updated the databaseConnection.js file with the correct connection details. Created an Azure Web App and configured it with Application Insights, GitHub Actions for CI/CD, autoscaling, and an alert rule. Managed sensitive data using environment variables and GitHub Secrets. Your project is now complete, and you have successfully implemented all the required features. If you need any additional features or adjustments, feel free to ask.
ChatGPT - GPT3.5
Based on the requirements you have provided, it seems that you have completed all the necessary steps to create a basic pipeline using GitHub Actions and Azure, with an Azure SQL Database and a Web App that retrieves data from the database. You have also set up autoscaling, alert rules, and monitoring with App Insights, and taken steps to secure sensitive data.However, there may be additional features or functionality that you want to add to your application, such as improving the user interface, adding more complex queries to the database, or integrating with other Azure services like Azure Storage or Azure Cognitive Services.
Additionally, you may want to consider implementing best practices for security, performance, and scalability, such as securing network traffic with SSL/TLS, optimizing database queries for performance, and implementing caching and load balancing for high availability.
Overall, while you have completed the initial steps to create a functional pipeline, there is always room for improvement and optimization, depending on the specific needs of your application and users.
Bing AI Chat - Precise
Based on the information you provided, it seems like you have completed all the requirements for your project. You have created an Azure resource group, an Azure SQL database, and a Web App in Azure. You have also configured your Web App with GitHub Actions, Autoscale setting, Alert rule, and monitoring with App Insights. Additionally, you have created the front-end and back-end parts of your Node.js app and populated your Azure SQL database with Confucius quotes.If you have followed all the steps and everything is working as expected, then your project should be complete. However, it's always a good idea to test your app thoroughly to make sure everything is working correctly and to fix any issues that you may find.
Is there anything else you would like to know or do for your project?
Bing AI Chat - Creative
You have completed all the requirements that you have specified so far. You have created a node js app that shows random Confucius quotes, a SQL database that stores the quotes, a web app in Azure that hosts your app, GitHub actions that automate your deployment, and App Insights that monitor your app. You have also hidden your sensitive data using secrets and environment variables. There is nothing else to do unless you want to add more features or improve your existing ones. The project is done unless you have more goals or feedback. Congratulations on your achievement!🎉Of course it doesn't work. Our work in DevOps and SRE is safe for now. I know that AI is not so good if you give it many prompts, but i tried with very few requests and it fails worse. After a couple of days of tries and only working with ChatGPT I did managed at least to deploy it, but there are a lot of other problems. App is deployed and connected to the DB, but the button doesn't do a thing
2023-04-04T10:10:43.495101642Z _____
2023-04-04T10:10:43.495155046Z / _ \ __________ _________ ____
2023-04-04T10:10:43.495161046Z / /_\ \\___ / | \_ __ \_/ __ \
2023-04-04T10:10:43.495165646Z / | \/ /| | /| | \/\ ___/
2023-04-04T10:10:43.495169847Z \____|__ /_____ \____/ |__| \___ >
2023-04-04T10:10:43.495174247Z \/ \/ \/
2023-04-04T10:10:43.495178347Z A P P S E R V I C E O N L I N U X
2023-04-04T10:10:43.495182348Z
2023-04-04T10:10:43.495186148Z Documentation: http://aka.ms/webapp-linux
2023-04-04T10:10:43.495190148Z NodeJS quickstart: https://aka.ms/node-qs
2023-04-04T10:10:43.495194048Z NodeJS Version : v16.19.0
2023-04-04T10:10:43.495197949Z Note: Any data outside '/home' is not persisted
2023-04-04T10:10:43.495202049Z
2023-04-04T10:10:44.800235303Z Starting OpenBSD Secure Shell server: sshd.
2023-04-04T10:10:45.031989672Z Starting periodic command scheduler: cron.
2023-04-04T10:10:45.180998658Z Cound not find build manifest file at '/home/site/wwwroot/oryx-manifest.toml'
2023-04-04T10:10:45.182178141Z Could not find operation ID in manifest. Generating an operation id...
2023-04-04T10:10:45.191330892Z Build Operation ID: 4aaba0e0-bc5f-49c7-804e-4391db2c5979
2023-04-04T10:10:45.402386185Z Environment Variables for Application Insight's IPA Codeless Configuration exists..
2023-04-04T10:10:45.462343544Z Writing output script to '/opt/startup/startup.sh'
2023-04-04T10:10:45.555727378Z Running #!/bin/sh
2023-04-04T10:10:45.555788083Z
2023-04-04T10:10:45.555795583Z # Enter the source directory to make sure the script runs where the user expects
2023-04-04T10:10:45.555801384Z cd "/home/site/wwwroot"
2023-04-04T10:10:45.555806884Z
2023-04-04T10:10:45.555811884Z export NODE_PATH=/usr/local/lib/node_modules:$NODE_PATH
2023-04-04T10:10:45.555817085Z if [ -z "$PORT" ]; then
2023-04-04T10:10:45.555822285Z export PORT=8080
2023-04-04T10:10:45.555833186Z fi
2023-04-04T10:10:45.555838586Z
2023-04-04T10:10:45.565306159Z npm start
2023-04-04T10:10:49.341042326Z npm info it worked if it ends with ok
2023-04-04T10:10:49.368241367Z npm info using [email protected]
2023-04-04T10:10:49.368267269Z npm info using [email protected]
2023-04-04T10:10:50.085214077Z npm info lifecycle [email protected]~prestart: [email protected]
2023-04-04T10:10:50.102890208Z npm info lifecycle [email protected]~start: [email protected]
2023-04-04T10:10:50.165521017Z
2023-04-04T10:10:50.165583921Z > [email protected] start /home/site/wwwroot
2023-04-04T10:10:50.165609423Z > node app.js
2023-04-04T10:10:50.165615223Z
2023-04-04T10:10:59.065535432Z Server listening on port 8080
2023-04-04T10:10:59.406987626Z Connected to the database